Active Bibliography

21 Model uncertainty – Merlise Clyde, Edward I. George - 2004
1 Determining the Number of Colors or Gray Levels in an Image Using Approximate Bayes Factors: The Pseudolikelihood Information Criterion (PLIC) – Derek C. Stanford, Adrian E. Raftery - 2001
3 Easy Computation of Bayes Factors and Normalizing Constants for Mixture Models via Mixture Importance Sampling – Mary J. Emond, Adrian E. Raftery, Russell J. Steele - 2001
14 Computing Normalizing Constants for Finite Mixture Models via Incremental Mixture Importance Sampling (IMIS) – Russell J. Steele, Adrian E. Raftery, Mary J. Emond - 2003
1 Performance of Bayesian Model Selection Criteria for Gaussian Mixture Models – Russell J. Steele, Adrian E. Raftery - 2009
Mail Stop 10-R – Sandip Sinharay, Hal S. Stern
9 A Bayesian approach to the selection and testing of mixture models – Johannes Berkhof, Iven Van Mechelen, Andrew Gelman - 2001
4 Hidden Markov models for longitudinal comparisons – Steven L. Scott, Gareth M. James, Catherine, A. Sugar - 2005
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
Approximating the marginal likelihood using copula – David J. Nott, Robert Kohn, Mark Fielding - 810
16 Warp bridge sampling – Xiao-li Meng, Stephen Schilling - 2002
18 Transdimensional Markov Chains: A Decade of Progress and Future Perspectives – Scott A. Sisson - 2005
5 Easy Estimation of Normalizing Constants and Bayes Factors from Posterior Simulation: Stabilizing the Harmonic Mean Estimator – Jaya M. Satagopan, Michael A. Newton, Adrian E. Raftery - 2000
55 Model-based clustering for social networks – Mark S. Handcock, Adrian E. Raftery, Jeremy M. Tantrum - 2007
An Application of MCMC Methods and of Mixtures of Laws for the Determination of the Purity of a Product. – Julien Cornebise, Myriam Maumy
Model-Based Clustering, Discriminant Analysis, and Density Estimation – Chris Fraley And, Chris Fraley, Adrian E. Raftery - 2000
260 Model-Based Clustering, Discriminant Analysis, and Density Estimation – Chris Fraley, Adrian E. Raftery - 2000
Model Based Clustering for Longitudinal Data – O A. Quintana, Guillermo Marshall - 2007
unknown title – Learning Bayesian